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A framework for thinking about AI productivity

··186 words·1 min·

📈 A simple framework for measuring how much AI adds
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This article suggests a more operational lens for AI: autonomous productivity, augmented productivity, implementation cost, and time to value.

What stands out
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  • 🤖 Autonomous work gets automated without humans
  • 🧑‍💻 Augmented work speeds up human work
  • 💸 Return depends on implementation cost
  • ⏳ Value also depends on time to steady state

The central idea is that AI does not always cut costs right away; often it increases productivity and execution speed.

🪄 Quick explanation
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Think of AI as an investment that can help you work faster.

What matters is not only how much it does, but how long it takes to deliver value and how much it costs to get there.

👉 The right question is not “does it use AI?” but “does it improve the business?”

More information at the link 👇

Also published on LinkedIn.
Juan Pedro Bretti Mandarano
Author
Juan Pedro Bretti Mandarano